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Abstract <p>Pipeline structures are widely used in many fields and play an extremely important role in social life. However, they are prone to damage during service. If not detected and addressed promptly, such damage can lead to serious consequences. Therefore, to timely assess the health status of pipeline structures, this paper presents a method for identifying pipeline damage using guided waves. This method is based on a two-dimensional probabilistic damage imaging algorithm, which is transformed into a cylindrical coordinate system through coordinate transformation. By combining the spectral peak differences in the response signals before and after pipeline damage, the method achieves damage identification and imaging. The effectiveness of the method was validated through simulations and experiments. The results showed that the damage localization errors were 9.82 mm in simulations and 14.72 mm in experiments, respectively. These results demonstrate significant value for pipeline damage detection research.</p>

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Locating and Imaging Pipeline Damage Based on Frequency Spectrum of Lamb Waves

  • 期刊论文

  • 发表日期：

    2025年8月1日

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  • Pujun Yuan,
  • Chenhui Su,
  • Weichao Gao

摘要

Abstract

Pipeline structures are widely used in many fields and play an extremely important role in social life. However, they are prone to damage during service. If not detected and addressed promptly, such damage can lead to serious consequences. Therefore, to timely assess the health status of pipeline structures, this paper presents a method for identifying pipeline damage using guided waves. This method is based on a two-dimensional probabilistic damage imaging algorithm, which is transformed into a cylindrical coordinate system through coordinate transformation. By combining the spectral peak differences in the response signals before and after pipeline damage, the method achieves damage identification and imaging. The effectiveness of the method was validated through simulations and experiments. The results showed that the damage localization errors were 9.82 mm in simulations and 14.72 mm in experiments, respectively. These results demonstrate significant value for pipeline damage detection research.